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Discovering Optimal Targets for Adoptive T-Cell Immunotherapy of Leukemia.

2012· article· en· W2568716921 on OpenAlexaff
Krystel Vincent, Sarah Hadj-Mimoune, Marie‐Pierre Hardy, Claude Perreault

Bibliographic record

VenueBlood · 2012
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsUniversité de MontréalInstitute for Research in Immunology and Cancer
Fundersnot available
KeywordsAntigenImmunologyAdoptive cell transferImmunotherapyCD8TransplantationCTL*LeukemiaCancer researchCancer immunotherapyMinor histocompatibility antigenBiologyT cellMajor histocompatibility complexImmune systemMedicineInternal medicine

Abstract

fetched live from OpenAlex

Abstract Abstract 3016 Allogeneic hematopoietic cell transplantation is the most widely used form of adoptive T-cell cancer immunotherapy (ATCI) but its efficacy is limited by the fact that donor lymphocytes are neither selected nor primed (activated) prior to transfer. This can lead to tolerization of donor lymphocytes by tumor cells and causes graft-versus-host disease in 60% of recipients. These two caveats can be circumvented by the injection of primed antigen-specific CD8 T-cells targeted to tumor associated antigens (TAAs) or minor histocompatibility antigens (MiHAs). Several studies in humans have established the value of TAAs and MiHAs in therapies against solid tumors and leukemia, respectively. Importantly, the value of TAAs and MiHAs as targets for antigen-specific cancer immunotherapy has never been assessed against the same tumor. Therefore, our main goal is to directly compare the therapeutic efficacy of T-cells targeted to TAAs vs. MiHAs. More specifically, we want to evaluate the in vivo anti-leukemic potential of MiHA- vs. TAA-primed CD8 T-cells and identify the mechanisms responsible for the differential anti-leukemic activity of antigen-specific T-cells. We elected to work with 8 antigens known to be expressed on a mouse lymphoblastoma cell line (EL4 cells). Our panel includes 4 MiHAs of known sequence. We also selected 4 TAAs, whose sequences were elucidated by our group using a high-throughput mass spectrometry based approach (Fortier M.H. et al. 2008, J. Exp. Med). In vitro cytotoxicity assays revealed a functional CTL response against all of our antigens, thereby confirming their immunogenicity. We first evaluated the anti-leukemic activity of antigen-specific CD8 T cells in vivo. Mice were immunized twice with peptide pulsed dendritic cells and challenged with 5 × 105 EL4 cells 7 days after the last immunization. We observed an enhanced survival rate for mice immunized against MiHAs as opposed to mice immunized against TAAs. Indeed, while none of the mice immunized against TAAs survived the EL4 challenge, mice immunized against 3 out of the 4 MiHAs demonstrated either full survival (2 MiHAs) or partial survival with a delayed tumor onset. To better understand the mechanisms responsible for the differential anti-leukemic activity of antigen-specific T-cells, we assessed the quality of binding of the 8 antigens to the MHC I molecule. More specifically, we measured the half-life of MHC I/peptide complexes at the cell surface and performed a peptide binding competition assay to evaluate the affinity of our 8 antigens for MHC I molecules. Notably, MiHAs and TAAs showed comparable half-life of MHC I/peptide complexes at the cell surface and binding affinities. We conclude that differential MHC I/peptide interactions are not responsible for the differential anti-leukemic activity of MiHA- vs. TAA-primed CD8 T-cells. We then investigated the frequency of antigen-specific CD8 T-cells in immunized mice using MHC class I tetramers. Our preliminary results show that CD8 T-cells specific for 4 of our antigens (3 TAAs and 1 MiHA) are undetectable by flow cytometry. Interestingly, we found a strong correlation between the lack of tetramer staining and lack of survival of EL4 bearing mice. This suggests that CD8 T-cells targeting TAAs bind weakly to their respective MHC I/peptide complexes, which could indicate a weaker immunogenicity compared to MiHAs. It will be interesting to investigate whether and how other mechanisms of immunogenicity, such as TCR avidity and T-cell frequency, can influence the outcome of antigen-specific leukemia immunotherapy. Our studies will provide the first direct comparison of the anti-leukemic potential of MiHA- vs. TAA-primed CD8 T-cells. We believe that these crucial informations will serve as guide for selecting the best antigens for antigen-specific ATCI in future clinical trials. Disclosures: No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.023
GPT teacher head0.298
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2012
Admission routes1
Has abstractyes

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